A method and apparatus for identifying a stratum, an electronic device, and a storage medium

Abstract

A method and device for identifying a stratum, an electronic device, and a storage medium are disclosed. The method comprises: performing reflection wave imaging on a to-be-identified stratum to obtain a reflection wave imaging result, wherein multiple wave interference exists in the reflection wave imaging result; performing diffraction wave imaging on the to-be-identified stratum to obtain a diffraction wave imaging result; and determining a position of a target stratum according to the reflection wave imaging result and the diffraction wave imaging result. The method combines and compares the imaging results of the diffraction wave and the reflection wave according to the difference between the imaging mechanisms of the diffraction wave and the reflection wave, determines the spatial position of a real stratum in the stratum, effectively distinguishes a false stratum caused by multiple waves in conventional reflection wave seismic imaging, and guides the identification of the stratum and the reservoir in the seismic exploration process.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of geophysical technology, and in particular to a stratum identification method and device, an electronic device, and a storage medium. BACKGROUND

[0002] Currently, oil and gas exploration is mainly based on seismic exploration technology, which involves artificial passive seismic exploration of underground targets, recording of signals, imaging processing, and ultimately obtaining information about the underground distribution of oil and gas. For deeper strata, wave field analysis during signal processing is increasingly complex, and the multi-solution nature is also improved.

[0003] For ultra-deep seismic exploration, the problems of effective signal identification and enhancement and multiple wave suppression are faced. Multiple waves are common interference waves in seismic exploration, and the presence of multiple waves makes seismic imaging not real, causing the phenomenon of "false strata". There are many methods to suppress "false reflections" caused by multiple waves, but for ultra-deep layers (8000-10000 meters), the wave field information is complex, and it is difficult to achieve wave field identification and separation, with poor results. SUMMARY

[0004] The present application provides a stratum identification method, device, electronic device, and storage medium to effectively distinguish false strata caused by multiple waves in reflection wave imaging, and improve the authenticity and accuracy of ultra-deep seismic imaging.

[0005] In a first aspect, the present application provides a stratum identification method, which comprises:

[0006] reflection wave imaging of the stratum to be identified is performed to obtain a reflection wave imaging result, wherein multiple wave interference exists in the reflection wave imaging result;

[0007] diffraction wave imaging of the stratum to be identified is performed to obtain a diffraction wave imaging result;

[0008] the position of the target stratum is determined according to the reflection wave imaging result and the diffraction wave imaging result.

[0009] In a second aspect, the present application also provides a stratum identification device, which comprises:

[0010] a reflection wave imaging result determination unit configured to perform reflection wave imaging of the stratum to be identified to obtain a reflection wave imaging result, wherein multiple wave interference exists in the reflection wave imaging result;

[0011] a diffraction wave imaging result determination unit configured to perform diffraction wave imaging of the stratum to be identified to obtain a diffraction wave imaging result;

[0012] a position determination unit configured to determine the position of the target stratum according to the reflection wave imaging result and the diffraction wave imaging result.

[0013] In a third aspect, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the stratum identification method according to any of the embodiments of the present application when executing the program.

[0014] In a fourth aspect, a storage medium storing computer executable instructions is provided, and the computer executable instructions are used to execute the stratum identification method according to any of the embodiments of the present application when executed by a computer processor.

[0015] The technical solution of the embodiments of the present application determines the spatial position of the real stratum in the stratum by comparing and analyzing the imaging results of the diffraction wave and the reflection wave according to the difference between the imaging mechanisms of the diffraction wave and the reflection wave, effectively distinguishes the "false stratum" caused by the multiple wave in the conventional reflection wave seismic imaging, and guides the identification of the stratum and the reservoir in the seismic exploration process.

[0016] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0018] Figure 1 A flowchart of a stratum identification method provided for the first embodiment of the present application;

[0019] Figure 2 A two-dimensional velocity model provided for the first embodiment of the present application;

[0020] Figure 3 A reflection wave seismic imaging diagram provided for the first embodiment of the present application;

[0021] Figure 4 A diffraction wave seismic imaging diagram provided for the first embodiment of the present application;

[0022] Figure 5 A structural schematic diagram of a stratum identification device provided for the second embodiment of the present application;

[0023] Figure 6 A structural schematic diagram of an electronic device provided for the third embodiment of the present application. DETAILED DESCRIPTION

[0024] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0025] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0026] Example 1

[0027] Figure 1 The flowchart of a stratigraphic identification method provided in Embodiment 1 of the present invention is applicable to the situation of determining the true and effective layers of carbonate rock strata. The method can be executed by a stratigraphic identification device, which can be implemented in hardware and / or software and can be configured in any electronic device with network communication function.

[0028] like Figure 1 As shown, the method includes:

[0029] S110. Perform reflected wave imaging on the stratum to be identified to obtain reflected wave imaging results. Among them, the reflected wave imaging results contain multiple wave interference.

[0030] The strata to be identified can be strata that require effective stratigraphic determination. For example, the strata to be identified in this application can be carbonate rock strata. Due to the special nature of their deposition, even continuously deposited strata of carbonate rock still have strong heterogeneity in the lateral direction. In addition, they are easily further modified by interlayer karst and fault-controlled karst in the later stages of burial, which further increases their internal heterogeneity.

[0031] Optionally, the stratum depth to be identified is greater than or equal to 8,000 meters and less than or equal to 10,000 meters.

[0032] Furthermore, the depth of the strata to be identified is between 8,000 and 10,000 meters. Due to the complexity of the wavefield information of ultra-deep strata, traditional seismic exploration will encounter problems such as complex wavefield analysis and increased ambiguity. Therefore, it is difficult and ineffective to identify and separate the wavefield of ultra-deep strata. However, the method adopted in this application can overcome this problem.

[0033] For example, a model of the stratigraphy to be identified can be built to verify that the method of this application can identify the actual stratigraphy. Figure 2 As shown, the model consists of horizontal layers, depressions, and isolated diffraction points. A high-velocity layer exists in the middle of the model, and a horizontal interface exists at the bottom. The model is 8 km long laterally and 4 km deep vertically. The grid spacing in both the lateral and vertical directions is 5 m. Seismic data was generated through finite-difference forward modeling. Shot points and receivers are uniformly distributed on the surface, simulating a total of 401 shots, each with 801 receivers. Shot points can be locations where seismic waves are generated in the field, and receivers are locations where seismic waves are received. A shot point is set every 20 m, and a receiver is set every 10 m. The principle of finite-difference forward modeling is to replace the spatial and temporal derivatives of the wave field function in the wave equations with corresponding differences.

[0034] Reflected waves are waves that are reflected and refracted at the interface between media of different densities. Multiples occur because certain interfaces with high reflection coefficients at the Earth's surface or underground cause primary reflected waves to be reflected back underground. Multiples are common interference waves in seismic exploration. Their presence and occurrence make seismic imaging inaccurate, distorting the amplitude, frequency, and phase of the reflected waves from the target layer, thus affecting the accuracy and reliability of seismic imaging. Reflected wave imaging results can be represented as three-dimensional seismic data volumes.

[0035] The reflected waves collected from the strata to be identified are imaged using a reflected wave imaging method to obtain the reflected wave imaging results. The reflected wave imaging method can be Kirchhoff migration, one-way wave migration, reverse time migration, or multi-wave multi-component migration, etc. This application does not limit the method used for reflected wave imaging.

[0036] Optionally, the imaging morphology of the reflected wave and multiple waves is a convex pseudo-hyperbola.

[0037] For example, for Figure 2 The model shown is used to perform reflected wave imaging to obtain the reflected wave image as follows: Figure 3 As shown. From Figure 3 As can be seen, multiple wave-generated strata artifacts appear within a range of 2–4 km. The shape of their phase axes is very similar to that of the reflected waves, both being downward-convex pseudo-hyperboles. This makes it difficult to distinguish between reflected waves and multiple waves in the imaging profile. Among them, the strata artifacts can be called "pseudo-strata," which are strata present in the reflected waves but completely absent in the diffracted waves.

[0038] S120, perform diffraction wave imaging on the to-be-identified formation to obtain a diffraction wave imaging result.

[0039] The diffraction wave can be a wave caused by a sharp change in a formation, such as a fault point, a fault edge, a formation pinch-out point, a heterogeneous body, an intrusion body, and an edge of an underground reef, encountered by a seismic wave in propagation in seismic exploration work.

[0040] Further, the diffraction wave imaging is adopted because the diffraction wave imaging has a certain energy residue at a strong non-homogeneous interface, forms a "shadow" of the formation, and a "false formation" caused by multiple waves is completely suppressed.

[0041] The diffraction wave imaging method is used to perform diffraction wave imaging on the collected diffraction wave of the to-be-identified formation, so as to obtain a diffraction wave imaging result. The diffraction wave imaging result can be a three-dimensional seismic data volume. The diffraction wave imaging method can be a multiplication imaging condition method and an angle domain picking method, and the method of the diffraction wave imaging is not limited in the application.

[0042] Further, before the reflection wave imaging and the diffraction wave imaging are performed on the to-be-identified formation, reflection wave and diffraction wave information needs to be obtained. The collected seismic exploration original acquisition data is analyzed to obtain the reflection wave and diffraction wave information. The seismic exploration original acquisition data can include original acquisition shot records, a velocity field, and other data required for seismic imaging. The reflection wave and diffraction wave information are contained in the original acquisition shot record data.

[0043] Further, the reflection wave and the diffraction wave in the original acquisition shot record data can be separated because there are differences between the reflection wave and the diffraction wave in terms of time-distance relationship in data space, wave field dynamics characteristics, and time-distance relationship in imaging space. According to the differences, the reflection wave and the diffraction wave can be separated.

[0044] Optionally, the imaging form of the diffraction wave is a horizontal event.

[0045] The event can be a line of the same phase (a wave peak or a wave trough) on a seismic record. The horizontal event can be a line of the same horizontal phase on a seismic record.

[0046] Optionally, the diffraction wave imaging on the to-be-identified formation to obtain the diffraction wave imaging result includes steps A1-A2:

[0047] Step A1, perform imaging amplitude scanning on the to-be-identified formation to obtain a reflection wave Fresnel zone and a horizontal event.

[0048] The Fresnel zone is an elliptical space between a transmitting antenna and a receiving antenna.

[0049] The collected original acquisition shot data of the to-be-identified formation is analyzed to obtain an angle domain common imaging point gather, and imaging scanning is performed on the angle domain common imaging point gather to obtain a reflection wave Fizeau band and a horizontal event of a diffracted wave.

[0050] Step A2, amplitude stacking is performed on the horizontal event to obtain a diffracted wave imaging result.

[0051] For example, in the process of amplitude stacking of the angle domain common imaging point gather, the Fizeau band of the reflection wave is avoided, and amplitude stacking is performed on the identified horizontal event in the full azimuth angle gather to avoid leakage of diffracted wave energy, so as to realize amplitude-preserving imaging of the diffracted wave, as shown in FIG. 4. Figure 4 The full azimuth angle gather can construct a weight function curve, reflect the underground angle distribution through the gather itself, and effectively calculate the reflection wave and the diffracted wave based on the Fizeau band, so as to realize targeted high-definition imaging.

[0052] Further, the diffracted wave imaging is sensitive to the boundary points in the formation, and therefore can better display the boundary points in the formation, as shown in FIG. 5. Figure 4 The black and white dots in the figure are boundary points in the formation. The boundary points can be formation interface inflection points and isolated diffracted points, as shown in FIG. 6. Figure 2

[0053] The above steps can well avoid the occurrence of formation artifacts in imaging due to the characteristic that the diffracted wave does not exist multiple reflections, and can well identify the boundary points in the formation in imaging, thereby improving the accuracy of the analysis of the formation.

[0054] S130, determining the position of the target formation according to the reflection wave imaging result and the diffracted wave imaging result.

[0055] The target formation is a real formation in the to-be-identified formation.

[0056] Optionally, the position of the target formation is determined according to the reflection wave imaging result and the diffracted wave imaging result, including B1-B2:

[0057] Step B1, determining at least one boundary point according to the diffracted wave imaging result.

[0058] For example, the diffracted wave imaging result is as shown in FIG. 7, wherein the black and white points are boundary points, and it can be seen from the figure that there are 7 boundary points in FIG. 7. Figure 4 Figure 4

[0059] Step B2, matching the boundary points in the diffracted wave imaging result with the formation in the reflection wave imaging result to determine the position of the target formation.

[0060] ​​​As shown in Figure 3 , 4 As shown in

[0061] Further, the position of the target formation can be determined according to the reflection wave imaging result and the diffraction wave imaging result, and the position of the target formation is a formation with no response in the diffraction wave but with response in the reflection wave, i.e., a "false formation" caused by the multiple wave.

[0062] Optionally, the step further includes:

[0063] The formation that does not match the boundary point in the diffraction wave imaging result is taken as a reflection wave interference formation.

[0064] As shown in Figure 3 , 4 As shown in

[0065] As shown in an example, during the formation of the formation, a rift valley can be formed in the formation due to the influence of the external tension environment, and the upper sediment of the formation can be filled in the rift valley. At this time, a "false formation" formed by the multiple wave appears in the obtained reflection wave imaging, and the diffraction wave imaging can clearly image the boundary point of the rift valley in the formation. By comparing the reflection wave imaging and the diffraction wave imaging, the real position of the target formation and the reflection wave interference formation can be obtained.

[0066] The technical scheme of the embodiment of the present application determines the spatial position of the real formation in the formation by comparing and analyzing the imaging results of the diffraction wave and the reflection wave according to the difference between the imaging mechanisms of the diffraction wave and the reflection wave, effectively distinguishes the false formation caused by the multiple wave in the conventional reflection wave seismic imaging, and guides the identification of the formation and the reservoir in the seismic exploration process.

[0067] Embodiment two

[0068] Figure 5 A structural schematic diagram of a formation identification device provided in the embodiment three of the present application is shown in Figure 5 The device includes a reflection wave imaging result determination module 210, a diffraction wave imaging result determination module 220, and a position determination module 230, wherein:

[0069] The reflection wave imaging result determination module 210 is configured to perform reflection wave imaging on the formation to be identified to obtain a reflection wave imaging result, wherein the reflection wave imaging result has multiple wave interference.

[0070] The diffraction wave imaging result determination module 220 is configured to perform diffraction wave imaging on the to-be-identified formation to obtain a diffraction wave imaging result.

[0071] The position determination module 230 is configured to determine the position of the target formation according to the reflection wave imaging result and the diffraction wave imaging result.

[0072] Optionally, the reflection wave imaging result determination module 210 is specifically configured to:

[0073] The imaging form of the reflection wave and the multiple wave is a concave pseudo-hyperbolic curve.

[0074] Optionally, the diffraction wave imaging result determination module 220 is specifically configured to:

[0075] The imaging form of the diffraction wave is a horizontal event.

[0076] Optionally, the diffraction wave imaging result determination module 220 comprises:

[0077] The imaging amplitude scanning unit is configured to perform imaging amplitude scanning on the to-be-identified formation to obtain a reflection wave Fizeau zone and a horizontal event.

[0078] The diffraction wave imaging result determination unit is configured to perform amplitude stacking on the horizontal event to obtain a diffraction wave imaging result.

[0079] Optionally, the position determination module 230 comprises:

[0080] The boundary point determination unit is configured to determine at least one boundary point according to the diffraction wave imaging result.

[0081] The position determination unit is configured to determine the position of the target formation by taking the formation in the reflection wave imaging result that does not match the boundary point in the diffraction wave imaging result as a reflection wave interference formation.

[0082] Optionally, the position determination unit is specifically configured to:

[0083] Take the formation in the reflection wave imaging result that does not match the boundary point in the diffraction wave imaging result as a reflection wave interference formation.

[0084] Optionally, the formation identification apparatus further comprises:

[0085] The formation depth determination module is configured to determine that the formation depth of the to-be-identified formation is greater than or equal to 8000 meters and less than or equal to 10000 meters.

[0086] The formation identification apparatus provided in the embodiment of the present application can execute the formation identification method provided in any embodiment of the present application, and has the corresponding function modules and beneficial effects of the execution method.

[0087] Embodiment three

[0088] Figure 5 A structural diagram of an electronic device is provided for Embodiment Three of the present application. The electronic device is intended to represent a variety of forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular telephones, smart phones, wearable devices (e.g., headsets, eyewear, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not intended to limit the implementations of the present application described and / or claimed in this document.

[0089] As shown in Figure 5 The electronic device 10 includes at least one processor 11, and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., connected in communication with the at least one processor 11, where the memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer programs stored in the read-only memory (ROM) 12 or loaded into the random access memory (RAM) 13 from the storage unit 18. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0090] A plurality of components in the electronic device 10 are connected to the I / O interface 15, including an input unit 16, such as a keyboard, a mouse, etc., an output unit 17, such as various types of displays, a speaker, etc., a storage unit 18, such as a magnetic disk, an optical disk, etc., and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network, such as the Internet, and / or various telecommunication networks.

[0091] The processor 11 can be various general and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 performs various methods and processes described above, such as the formation identification method.

[0092] In some embodiments, the formation identification method can be implemented as a computer program tangibly embodied in a computer readable storage medium, e.g., storage unit 18. In some embodiments, portions of or all of the computer program can be loaded onto the electronic device 10 via, e.g., ROM 12 and / or communication unit 19. When a computer program is loaded onto the RAM 13 and executed by the processor 11, one or more of the steps of the above described formation identification method can be performed. Alternatively, in other embodiments, the processor 11 can be configured to perform the formation identification method by other means, e.g., with the aid of firmware.

[0093] Various implementations of the systems and techniques described above can be realized in digital electronic circuitry, integrated circuitry, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on a chip (SOC), a programmable logic device (PLD), a computer hardware, firmware, software, and / or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0094] Computer programs used to implement the methods of the present application can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the computer program, when executed by the processor of the machine, implements the functions / acts specified in the flowcharts and / or block diagrams. The computer program can be executed entirely on a machine, partially on a machine, partially on a machine as a stand-alone software package, partially on a machine and partially on a remote machine or entirely on a remote machine or server.

[0095] In the context of the present application, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer-readable storage medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of a machine-readable storage medium will include one or more lines of a program of instructions in a transitory signal, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0096] To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0097] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0098] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system, to solve the defects of large management difficulty and weak business scalability in traditional physical host and VPS service.

[0099] It should be understood that the various forms of flow shown above can be used to reorder, add or delete steps. For example, each step described in the present application can be executed in parallel, sequentially or in a different order, as long as the desired results of the technical solutions of the present application can be achieved, which is not limited herein.

[0100] The above detailed description does not constitute a limitation on the protection scope of the present application. Those skilled in the art should understand that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for stratigraphic identification, characterized in that, include: The strata to be identified are subjected to reflected wave imaging to obtain reflected wave imaging results, wherein the reflected wave imaging results contain multiple wave interference; Diffraction wave imaging is performed on the stratum to be identified to obtain the diffraction wave imaging results; The location of the target stratum is determined based on the reflected wave imaging results and the diffraction wave imaging results; The imaging shape of the diffracted wave is horizontally in phase. Specifically, diffraction wave imaging is performed on the stratum to be identified to obtain diffraction wave imaging results, including: The strata to be identified are subjected to imaging amplitude scanning to obtain the Fresnel zone of the reflected wave and the horizontal phase axis; Amplitude superposition of horizontal phase axes yields diffraction wave imaging results; The step of determining the location of the target stratum based on the reflected wave imaging results and the diffracted wave imaging results includes: Based on the diffraction wave imaging results, at least one boundary point is determined; The strata that match the boundary points in the reflected wave imaging results with those in the diffraction wave imaging results are taken as the target strata, and the location of the target strata is determined. The step of determining the location of the target stratum based on the reflected wave imaging results and the diffracted wave imaging results further includes: The strata whose boundary points in the reflected wave imaging results do not match those in the diffraction wave imaging results are considered as reflected wave interference strata.

2. The method according to claim 1, characterized in that, The imaging morphology of the reflected wave and the multiple waves is a convex pseudo-hyperbola.

3. The method according to any one of claims 1-2, characterized in that, The stratum depth to be identified is greater than or equal to 8,000 meters and less than or equal to 10,000 meters.

4. A stratigraphic identification device, characterized in that, include: Reflected wave imaging result determination module: used to perform reflected wave imaging on the stratum to be identified and obtain reflected wave imaging results, wherein the reflected wave imaging results contain multiple wave interference; Diffraction wave imaging result determination module: used to perform diffraction wave imaging on the stratum to be identified and obtain diffraction wave imaging results; Location determination module: used to determine the location of the target stratum based on the reflected wave imaging results and the diffraction wave imaging results; The diffraction wave imaging result determination module is specifically used for: The imaging pattern of the diffracted wave is horizontally in phase. The diffraction wave imaging result determination module includes: Imaging amplitude scanning unit: used to perform imaging amplitude scanning on the strata to be identified, to obtain the Fresnel zone of reflected waves and the horizontal phase axis; The diffraction wave imaging result determination unit is used to perform amplitude superposition on the horizontal phase axis to obtain the diffraction wave imaging result; The location determination module includes: Boundary point determination unit: used to determine at least one boundary point based on the diffraction wave imaging results; Location determination unit: used to determine the location of the target stratum by taking the stratum that matches the boundary point in the reflected wave imaging result with the boundary point in the diffraction wave imaging result as the target stratum; The position determination unit is specifically used for: The strata whose boundary points in the reflected wave imaging results do not match those in the diffraction wave imaging results are considered as reflected wave interference strata.

5. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the stratum identification method as described in any one of claims 1-3.

6. A storage medium for storing computer-executable instructions, characterized in that, The computer-executable instructions, when executed by a computer processor, are used to perform the stratigraphic identification method as described in any one of claims 1-3.

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